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Modeling Atmospheric Phase Corruptions in High-frequency Very-long-baseline Interferometry Using Gaussian Processes

  • Authors: Uri Rolls, Dominic W. Pesce, Paul Tiede, Lindy Blackburn, Iniyan Natarajan, Sheperd S. Doeleman

Uri Rolls et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 2.

Posterior distributions for the model parameters determined from fitting synthetic data. Left: pairwise distributions for the coherence timescale parameters τi. Center: pairwise distributions for the phase fluctuation magnitude parameters σi. Right: posterior distributions for the visibility phase parameters ϕij. For all two-dimensional distributions, the red contours enclose 50% and 90% of the posterior probability. Blue lines represent the input values used when generating the synthetic data.

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